S. Sakai

503 total citations
11 papers, 402 citations indexed

About

S. Sakai is a scholar working on Endocrinology, Food Science and Plant Science. According to data from OpenAlex, S. Sakai has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, 3 papers in Food Science and 3 papers in Plant Science. Recurrent topics in S. Sakai's work include Vibrio bacteria research studies (5 papers), Mycotoxins in Agriculture and Food (3 papers) and Essential Oils and Antimicrobial Activity (2 papers). S. Sakai is often cited by papers focused on Vibrio bacteria research studies (5 papers), Mycotoxins in Agriculture and Food (3 papers) and Essential Oils and Antimicrobial Activity (2 papers). S. Sakai collaborates with scholars based in Japan, United States and Hungary. S. Sakai's co-authors include Tomoaki Wauke, Satoshi Morozumi, Hiroshi HITOKOTO, Hiroshi Kurata, Hiroshi Zen‐Yōji, T. Ito, Yasuo Kudo, Yasuo Kudoh, Dana L. Swenson and Toshio Itoh and has published in prestigious journals such as Applied and Environmental Microbiology, The Journal of Infectious Diseases and Journal of Applied Microbiology.

In The Last Decade

S. Sakai

11 papers receiving 329 citations

Peers

S. Sakai
Comparison fields: 5 of 67
  • Plant Science 205
  • Food Science 159
  • Molecular Biology 76
  • Endocrinology 72
  • Cell Biology 68
Replace Hiroshi HITOKOTO with:
Hiroshi HITOKOTO Japan
Maria Grazia Bellardi Italy
Laurie Post United States
R. Morelli Italy
Piyawan Gasaluck Thailand
Vijayanandraj Selvaraj India
Madhu Sharma India
Adeline Mol Belgium
Verneal R. Bruce United States
Feng-Chia Hsieh Taiwan
Hiroshi HITOKOTO Japan View profile →
Citations per field, relative to S. Sakai
S. Sakai · 1×
Citations per year, relative to S. Sakai
S. Sakai · 1×

Countries citing papers authored by S. Sakai

Since Specialization
Citations

This map shows the geographic impact of S. Sakai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sakai more than expected).

Fields of papers citing papers by S. Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Sakai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Sakai. The network helps show where S. Sakai may publish in the future.

Co-authorship network of co-authors of S. Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of S. Sakai. A scholar is included among the top collaborators of S. Sakai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Sakai. S. Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 34
2 1
3 2
4 1
5 11
6 202
7
[Development of a sensitive serological assay based on reversed passive hemagglutination for detection of enteropathogenic toxin (kanagawa hemolysin) of Vibrio parahaemolyticus, and re-evaluation of the toxin producibility of isolates from various sources (author's transl)].
7
8 70
9
Antigenic schema and epidemiology of Vibrio parahaemolyticus.
17
10
Isolation and identification of Vibrio parahaemolyticus from clinical specimens.
9
11 48

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026